Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 212

Analytics Metrics Media Monitoring 212

DZone

AUGUST 18, 2023

We all know that data is being generated at an unprecedented rate. You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. This article will explore what edge data platforms and real-time services are, why they are important, and how they can be used.

IoT 130

IoT Media Latency Storage 130

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Understanding how to address a rollback is critical for minimizing potential data loss and maintaining seamless operations. With direct, actionable insights, prepare to navigate the complexities of rollbacks with confidence.

Database 130

Database Network Servers Monitoring 130

CSS Wizardry

FEBRUARY 25, 2021

This, of course, is exacerbated by the new Vitals announcement, whereby data from the Chrome User eXperience Report will be used to aid and influence rankings. The data is static which isn’t necessarily a drawback until it is—DevTools allows us to work far more quickly and interactively, responding to changes and tweaks as we make them.

Network 225

Network Mobile Performance Traffic 225

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. ITOA automates repetitive cloud operations tasks and streamlines the flow of analytics into decision-making processes.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

DZone

MARCH 27, 2023

Apache Spark is an open-source distributed computing system designed for large-scale data processing. Spark provides a unified framework for processing and analyzing large datasets across distributed computing clusters.

Network 177

Network Open Source Programming Design 177

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 218

Traffic AWS Network Cloud 218

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

OCTOBER 14, 2022

Log data provides a unique source of truth for debugging applications, optimizing infrastructure, and investigating security incidents. This contextualization of log data enables AI-powered problem detection and root cause analysis at scale. Dynamic landscape and data handling requirements result in manual work.

Storage 229

Storage Government Network Infrastructure 229

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. Broadcast variables can be used to efficiently distribute large read-only data structures, such as lookup tables, to worker nodes. For example, to broadcast a lookup table named lookup_table :

Big Data 161

Big Data Code Tuning Open Source 161

DZone

FEBRUARY 8, 2022

Quality metrics contain: The ratio of successfully processed requests. Distribution of processing time between requests. Any service provider tries to reach several metrics in their activity. One group of these metrics is service quality. Number of requests dependent curves.

Network 246

Network Hardware Metrics Processing 246

DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

Data Engineering 141

Data Engineering Infrastructure Engineering Code 141

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 187

Analytics Java Infrastructure Cloud 187

The Netflix TechBlog

APRIL 20, 2020

How Netflix brings safer and faster streaming experience to the living room on crowded networks using TLS 1.3 We want playback to start instantly and to never stop unexpectedly in any network environment. Confidentiality: Data sent over the channel is only visible to the endpoints. Authenticated Encryption For encryption, TLS 1.3

Network 237

Network Media Transportation Traffic 237

Dynatrace

MAY 17, 2023

OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. For this third and final part of our series, we saved the best for last: How you can enhance telemetry data even more and with less effort on your end with Dynatrace OneAgent.

Metrics 173

Metrics Monitoring Database Network 173

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JANUARY 20, 2020

Amazon's worldwide financial operations team has the incredible task of tracking all of that data (think petabytes). At Amazon's scale, a miscalculated metric, like cost per unit, or delayed data can have a huge impact (think millions of dollars). The team is constantly looking for ways to get more accurate data, faster.

Big Data 209

Big Data Logistics Retail Government 209

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. With Dynatrace actively managing business-critical applications, some of our globally distributed enterprise customers require Dynatrace Managed to continue operating even when an entire data center goes down. Minimized cross-data center network traffic.

Availability 249

Availability Hardware Latency Traffic 249

Percona

JULY 20, 2023

We often forget or take for granted the network hops involved and the additional overhead it creates on the overall performance. Previously I had written about how the volume of data transmission as part of SQL execution, as well as the cursor location, affects the overall performance.

Network 66

Network Performance Latency Servers 66

Dynatrace

FEBRUARY 1, 2024

This approach provides an immediate understanding of how entities such as hosts, processes, and their associated relationships contribute to the identified issue. Data center overview Beginning with a comprehensive view of all interconnected data centers, Dynatrace Davis AI instantly recognizes and categorizes any issues.

Infrastructure 183

Infrastructure Metrics Network Monitoring 183

Dynatrace

MARCH 5, 2021

In today’s complex IT environments, the sheer volume of data created makes it impossible for humans to monitor, comprehend, or troubleshoot problems before they impact the experience of your end users. Still, you might have use cases that rely on important custom data streams. Now you can: Alert on the outage of a custom data source.

Metrics 215

Metrics Network Monitoring Infrastructure 215

DZone

NOVEMBER 16, 2023

This article is intended for data scientists, AI researchers, machine learning engineers, and advanced practitioners in the field of artificial intelligence who have a solid grounding in machine learning concepts, natural language processing , and deep learning architectures.

Artificial Intelligence 258

Artificial Intelligence Architecture Network Engineering 258

Dynatrace

MARCH 20, 2024

With the pace of digital transformation continuing to accelerate, organizations are realizing the growing imperative to have a robust application security monitoring process in place. These could include issues with vulnerable and outdated components, injections, and software and data integrity failures.

Monitoring 214

Monitoring Analytics Traffic Best Practices 214

Dynatrace

JANUARY 3, 2024

Additionally, the process of obtaining FedRAMP certifications is expected to become more streamlined. 2: Observability data will become key for implementing zero trust effectively. In 2024, organizations will use insights from observability data to streamline zero-trust implementation and execution. Public sector prediction No.

Government 217

Government Innovation Strategy Network 217

Dynatrace

FEBRUARY 12, 2024

The OMB memo states that agencies must meet specific goals based on the five pillars of the Cybersecurity and Infrastructure Security Agency (CISA) Zero Trust Maturity Model : identity, devices, networks, applications/workloads, and data. A quick refresher: what is zero trust?

Government 182

Government Analytics Network Traffic 182

Dynatrace

SEPTEMBER 9, 2019

I love data. I have spent virtually my entire career looking at data. Synthetic data, network data, system data, and the list goes on. As much as I love data, data is cold, it lacks emotion. As much as I love data, data is cold, it lacks emotion. Often, 4s is too slow.

Big Data 149

Big Data Metrics Virtualization Monitoring 149

DZone

AUGUST 16, 2023

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing.

Cache 246

Cache Scalability Performance Latency 246

DZone

JULY 11, 2023

It involves the creation of algorithms and models that enable machines to perceive and interpret information, reason, make decisions, learn from data, and interact with their environment. AI encompasses various techniques, including machine learning, natural language processing , computer vision, and robotics.

Artificial Intelligence 109

Artificial Intelligence Healthcare Network Transportation 109

Dynatrace

SEPTEMBER 23, 2020

Recent improvements in OneAgent runtime-data handling. As a consequence, the automatic updates as well as the automatic deep-code monitoring injection processes are even more stable. Storage and network transfer of files is a measurable cost. Customizable location of large runtime files. See details below.

Storage 148

Storage Latency Operating System Network 148

DZone

DECEMBER 24, 2023

Profiling is a crucial step in this process as it helps identify the parts of the code that are most resource-intensive. Do they involve disk I/O, such as file read/write operations, network I/O, which includes data transmission over a network, or database I/O, comprising database interactions?

Network 177

Network Strategy Database Code 177

DZone

FEBRUARY 2, 2024

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 195

IoT Artificial Intelligence Latency Internet 195

Dynatrace

AUGUST 10, 2021

This year’s conference agenda was packed full of choices, including: Keynotes : Topics included accelerating digital transformation, with Dynatrace CIO Mike Maciag, and Spatial Collapse: The Great Acceleration of Turning Data Into an Asset, with Tricia Wang from Sudden Compass. We’ve all heard it: data is one of your biggest assets.

DevOps 246

DevOps Innovation Big Data Cloud 246

DZone

JUNE 6, 2023

When building an IoT-based service, we need to implement a messaging mechanism that transmits data collected by the IoT devices to a hub or a server. When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with.

IoT 293

IoT Tuning Storage Network 293

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 203

Analytics Infrastructure Efficiency Technology 203

Dynatrace

MAY 8, 2023

But when and how does DevOps monitoring fit into the process? DevOps monitoring tools enable teams to collect, analyze, and visualize data to ensure the smooth operation of software applications and infrastructure in a DevOps environment. The result is faster and more data-driven decision making. What is DevOps monitoring?

DevOps 222

DevOps Efficiency Monitoring Infrastructure 222

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130